The efficacy of high-throughput sequencing and target enrichment on charred archaeobotanical remains View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

H. M. Nistelberger, O. Smith, N. Wales, B. Star, S. Boessenkool

ABSTRACT

The majority of archaeological plant material is preserved in a charred state. Obtaining reliable ancient DNA data from these remains has presented challenges due to high rates of nucleotide damage, short DNA fragment lengths, low endogenous DNA content and the potential for modern contamination. It has been suggested that high-throughput sequencing (HTS) technologies coupled with DNA enrichment techniques may overcome some of these limitations. Here we report the findings of HTS and target enrichment on four important archaeological crops (barley, grape, maize and rice) performed in three different laboratories, presenting the largest HTS assessment of charred archaeobotanical specimens to date. Rigorous analysis of our data - excluding false-positives due to background contamination or incorrect index assignments - indicated a lack of endogenous DNA in nearly all samples, except for one lightly-charred maize cob. Even with target enrichment, this sample failed to yield adequate data required to address fundamental questions in archaeology and biology. We further reanalysed part of an existing dataset on charred plant material, and found all purported endogenous DNA sequences were likely to be spurious. We suggest these technologies are not suitable for use with charred archaeobotanicals and urge great caution when interpreting data obtained by HTS of these remains. More... »

PAGES

37347

References to SciGraph publications

  • 2011-12. Application and comparison of large-scale solution-based DNA capture-enrichment methods on ancient DNA in SCIENTIFIC REPORTS
  • 2016-09. Archaeogenetic study of prehistoric rice remains from Thailand and India: evidence of early japonica in South and Southeast Asia in ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES
  • 2016-12. AdapterRemoval v2: rapid adapter trimming, identification, and read merging in BMC RESEARCH NOTES
  • 2009-05. How to map billions of short reads onto genomes in NATURE BIOTECHNOLOGY
  • 2014-12. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses in BMC BIOLOGY
  • 2015-01. Recent advances in ancient DNA research and their implications for archaeobotany in VEGETATION HISTORY AND ARCHAEOBOTANY
  • 2008-03. Ancient plant DNA in archaeobotany in VEGETATION HISTORY AND ARCHAEOBOTANY
  • 2011-10. A draft genome of Yersinia pestis from victims of the Black Death in NATURE
  • 1994-07. Inactivation of E2a in recombinant adenoviruses improves the prospect for gene therapy in cystic fibrosis in NATURE GENETICS
  • 2011-12. Interplay between NS3 protease and human La protein regulates translation-replication switch of Hepatitis C virus in SCIENTIFIC REPORTS
  • 2011-11. Evaluation of genomic high-throughput sequencing data generated on Illumina HiSeq and Genome Analyzer systems in GENOME BIOLOGY
  • 2014-05. Characterization of ancient and modern genomes by SNP detection and phylogenomic and metagenomic analysis using PALEOMIX in NATURE PROTOCOLS
  • 2012-12. Improving ancient DNA read mapping against modern reference genomes in BMC GENOMICS
  • 2013-04. Single-stranded DNA library preparation for the sequencing of ancient or damaged DNA in NATURE PROTOCOLS
  • 2014-12. A comparative study of ancient DNA isolated from charred pea (Pisum sativum L.) seeds from an Early Iron Age settlement in southeast Serbia: inference for pea domestication in GENETIC RESOURCES AND CROP EVOLUTION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/srep37347

    DOI

    http://dx.doi.org/10.1038/srep37347

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1051847684

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27881876


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